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Non-linear predictability of stock market returns : comparative evidence from Japan and the US
Humpe, Andreas; Macmillan, Peter - In: Investment management and financial innovations 11 (2014) 4, pp. 36-48
Persistent link: https://www.econbiz.de/10010514142
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Can internet search queries help to predict stock market volatility?
Dimpfl, Thomas; Jank, Stephan - In: European financial management : the journal of the … 22 (2016) 2, pp. 171-192
Persistent link: https://www.econbiz.de/10011482049
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The influence and predictive powers of mixed-frequency individual stock sentiment on stock returns
Wang, Ruina; Li, Jinfang - In: The North American journal of economics and finance : a … 58 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10013187642
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Forecasting stock market movements using Google Trend searches
Huang, Melody Y.; Rojas, Randall R.; Convery, Patrick D. - In: Empirical economics : a journal of the Institute for … 59 (2020) 6, pp. 2821-2839
Persistent link: https://www.econbiz.de/10012499189
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Which is more important in stock market forecasting : attention or sentiment?
Zhang, Xiaotao; Li, Guoran; Li, Yishuo; Zou, Gaofeng; Wu, Ji - In: International review of financial analysis 89 (2023), pp. 1-10
Persistent link: https://www.econbiz.de/10014465093
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Which sentiment index is more informative to forecast stock market volatility? : evidence from China
Liang, Chao; Tang, Linchun; Li, Yan; Wei, Yu - In: International review of financial analysis 71 (2020), pp. 1-11
Persistent link: https://www.econbiz.de/10012437093
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Sentiment indices and stock returns : evidence from China
Xu, Yongan; Wang, Jianqiong; Chen, Zhonglu; Liang, Chao - In: International journal of finance & economics : IJFE 28 (2023) 1, pp. 1063-1080
Persistent link: https://www.econbiz.de/10014253347
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Business applications and state-level stock market realized volatility : a forecasting experiment
Bonato, Matteo; Ҫepni, Oğuzhan; Gupta, Rangan; … - 2022
Persistent link: https://www.econbiz.de/10013448280
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Business applications and state-level stock market realized volatility : a forecasting experiment
Bonato, Matteo; Ҫepni, Oğuzhan; Gupta, Rangan; … - 2022
Persistent link: https://www.econbiz.de/10013387634
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Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns
Liang, Chao; Xu, Yongan; Wang, Jianqiong; Yang, Mo - In: International review of financial analysis 82 (2022), pp. 1-12
Persistent link: https://www.econbiz.de/10013426479